{"title":"利用遗传算法在主动立体视觉系统中匹配直线和点","authors":"Sanghyuk Woo, A. Dipanda","doi":"10.1109/ICIP.2000.899382","DOIUrl":null,"url":null,"abstract":"A new method using genetic algorithms (GAs) is proposed for reconstructing a 3-D shape from an image. This image is obtained by an active stereo vision system composed of a camera and a light system which projects laser rays on the scene to be analyzed. The depth information is provided by matching the laser rays and the corresponding spots appearing in the image. Experimental results demonstrate that the proposed method is effective for 3-D shapes reconstruction.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Matching lines and points in an active stereo vision system using genetic algorithms\",\"authors\":\"Sanghyuk Woo, A. Dipanda\",\"doi\":\"10.1109/ICIP.2000.899382\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new method using genetic algorithms (GAs) is proposed for reconstructing a 3-D shape from an image. This image is obtained by an active stereo vision system composed of a camera and a light system which projects laser rays on the scene to be analyzed. The depth information is provided by matching the laser rays and the corresponding spots appearing in the image. Experimental results demonstrate that the proposed method is effective for 3-D shapes reconstruction.\",\"PeriodicalId\":193198,\"journal\":{\"name\":\"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIP.2000.899382\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.2000.899382","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Matching lines and points in an active stereo vision system using genetic algorithms
A new method using genetic algorithms (GAs) is proposed for reconstructing a 3-D shape from an image. This image is obtained by an active stereo vision system composed of a camera and a light system which projects laser rays on the scene to be analyzed. The depth information is provided by matching the laser rays and the corresponding spots appearing in the image. Experimental results demonstrate that the proposed method is effective for 3-D shapes reconstruction.
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